Copyright
        ©The Author(s) 2021.
    
    
        World J Hepatol. Dec 27, 2021; 13(12): 1919-1935
Published online Dec 27, 2021. doi: 10.4254/wjh.v13.i12.1919
Published online Dec 27, 2021. doi: 10.4254/wjh.v13.i12.1919
            Table 1 Comparison of characteristics of invasive and non-invasive methods
        
    | No. | Feature | Invasive | Non-invasive | 
| 1 | Invasiveness | Yes | No | 
| 2 | Sampling error | Yes | No | 
| 3 | Cost-effective | No | Yes | 
| 4 | Patient-friendly | No | Yes | 
| 5 | Hospitalization required | Yes | No | 
            Table 2 Scoring systems for liver fibrosis
        
    | Stage | IASL | Batts-Ludwig | METAVIR | 
| No fibrosis | No fibrosis | Stage 0 | F0 | 
| Fibrosis portal expansion | Mild fibrosis | Stage 1 | F1 | 
| Few bridges or septa | Moderate fibrosis | Stage 2 | F2 | 
| Numerous bridges or septa | Severe fibrosis | Stage 3 | F3 | 
| Cirrhosis | Cirrhosis | Stage 4 | F4 | 
            Table 3 Correlation of transient elastography cutoffs with METAVIRscore
        
    | METAVIR score | Cutoff TE score (kPa) | Sensitivity | Specificity | NPV | PPV | 
| F ≥ 2 (F0-F1 vs F2-4) | 7.1 | 0.67 | 0.89 | 0.48 | 0.95 | 
| F ≥ 3 (F0-F1-F2 vs F3, 4) | 9.5 | 0.73 | 0.91 | 0.81 | 0.87 | 
| F ≥ 4 (F0-F1-F2-F3 vs F4) | 12.5 | 0.87 | 0.91 | 0.95 | 0.77 | 
            Table 4 Sensitivity and specificity of non-invasive biomarkers in liver fibrosis
        
    | Marker | Parameters involved | Disease | AUROC for liver fibrosis | Sensitivity | Specificity | Ref. | 
| AST/ALT ratio | AST and ALT | NAFLD; HCV | 0.83; - | 74; 47 | 78; 96 | McPherson et al[87]; Park et al[88] | 
| BARD score | BMI, AST, ALT, DM | NAFLD | 0.76 | 74 | 66 | Sun et al[89] | 
| APRI | AST, platelet count | NAFLD | 0.67 | 27 | 89 | McPherson et al[87] | 
| ALT | ALT | HCV | 0.716-0.815 | - | - | Pradat et al[59] | 
| Forns index | Age, platelet count, GGT, cholesterol | HCV | 0.81-0.86 | 94 | 51 | Forns et al[60] | 
| PGA and PGAA | Prothrombin time, GGT, apolipoprotein A1, α2 macroglobulin | Acute liver disease | 0.84-0.86 | - | - | Nguyen-Khac et al[90] | 
| FIB-4 | Platelet count, AST, ALT, age | HCV; NAFLD | 0.74-0.77; 0.85 | 67; 84 | 71; 69 | Sebastiani[23]; Sun et al[89] | 
| Fibro test | Haptoglobin, apolipoprotein A1, α2 macroglobulin, GGT, bilirubin, age, and gender | HBV; HCV; ALD | 0.84; 0.87; 0.83 | 61; 75; - | 80; 85; - | Salkic et al[91]; Imbert-Bismut et al[66]; Naveau et al[62] | 
| Hepascore | GGT, bilirubin, HA, α2 macroglobulin, age, and gender | HCV | 0.82 | - | - | Naveau et al[62], Adams et al[92] | 
| SHASTA index | HA, AST, and albumin | HCV | 0.87 | 50 | 94 | Kelleher et al[93] | 
| Fibrospect II | α2 macroglobulin, HA, and TIMP-1 | HCV | 0.82-0.83 | 77-83 | 66-73 | Patel et al[94] | 
- Citation: Kaur N, Goyal G, Garg R, Tapasvi C, Chawla S, Kaur R. Potential role of noninvasive biomarkers during liver fibrosis. World J Hepatol 2021; 13(12): 1919-1935
- URL: https://www.wjgnet.com/1948-5182/full/v13/i12/1919.htm
- DOI: https://dx.doi.org/10.4254/wjh.v13.i12.1919

 
         
                         
                 
                 
                 
                 
                 
                         
                         
                        